NextBigFuture

AI Legend Sutton Wrote the Bitter Lesson- Gives His Suggestions for True Continual Learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the computational part of the ability to ...
NextBigFuture

reinforcement learning

Sutton believes Reinforcement Learning is the Path to to Intelligence via Experience. Sutton defines intelligence as the ...
Psychology Today

Observing Aggression and Learning From It

In a groundbreaking study from 1961, Albert Bandura demonstrated that we learn by watching what others do. New evidence links ...

Tencent’s new AI technique teaches language models ‘parallel thinking’

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
IEEE

Reinforcement Learning Solutions to Stochastic Multi-Agent Graphical Games With Multiplicative Noise

Abstract: This paper investigates reinforcement learning algorithms for discrete-time stochastic multi-agent graphical games with multiplicative noise. The Bellman optimality equation for stochastic ...
Nature

Bring us your LLMs: why peer review is good for AI models

None of the most widely used large language models (LLMs) that are rapidly upending how humanity is acquiring knowledge has ...
Physics World

The pros and cons of reinforcement learning in physical science

David Silver of Google DeepMind thinks AIs that ‘learn by experience’ are the future of AI – but maybe not in particle ...
GitHub

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...
GeekWire

CoreWeave to acquire OpenPipe, a Seattle-area startup that uses reinforcement learning to help companies build AI agents

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Sep 4, 2025 at 8:00 ...
marktechpost

Biomni-R0: New Agentic LLMs Trained End-to-End with Multi-Turn Reinforcement Learning for Expert-Level Intelligence in Biomedical Research

The research introduced a two-phase training process. First, they used supervised fine-tuning (SFT) on high-quality trajectories sampled from Claude-4 Sonnet using rejection sampling, effectively ...